| Muse: Text-to-image generation via masked generative transformers H Chang, H Zhang, J Barber, AJ Maschinot, J Lezama, L Jiang, MH Yang, ... arXiv preprint arXiv:2301.00704, 2023 | 342 | 2023 |
| Track to the future: Spatio-temporal video segmentation with long-range motion cues J Lezama, K Alahari, J Sivic, I Laptev CVPR 2011, 3369-3376, 2011 | 268 | 2011 |
| Not afraid of the dark: Nir-vis face recognition via cross-spectral hallucination and low-rank embedding J Lezama, Q Qiu, G Sapiro Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 158 | 2017 |
| Finding vanishing points via point alignments in image primal and dual domains J Lezama, R Grompone von Gioi, G Randall, JM Morel Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 114 | 2014 |
| Magvit: Masked generative video transformer L Yu, Y Cheng, K Sohn, J Lezama, H Zhang, H Chang, AG Hauptmann, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 99 | 2023 |
| Ole: Orthogonal low-rank embedding-a plug and play geometric loss for deep learning J Lezama, Q Qiu, P Musé, G Sapiro Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 83 | 2018 |
| Videopoet: A large language model for zero-shot video generation D Kondratyuk, L Yu, X Gu, J Lezama, J Huang, R Hornung, H Adam, ... arXiv preprint arXiv:2312.14125, 2023 | 60 | 2023 |
| Photorealistic video generation with diffusion models A Gupta, L Yu, K Sohn, X Gu, M Hahn, L Fei-Fei, I Essa, L Jiang, ... arXiv preprint arXiv:2312.06662, 2023 | 56 | 2023 |
| Visual prompt tuning for generative transfer learning K Sohn, H Chang, J Lezama, L Polania, H Zhang, Y Hao, I Essa, L Jiang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 56 | 2023 |
| Language Model Beats Diffusion--Tokenizer is Key to Visual Generation L Yu, J Lezama, NB Gundavarapu, L Versari, K Sohn, D Minnen, Y Cheng, ... arXiv preprint arXiv:2310.05737, 2023 | 53 | 2023 |
| A Contrario 2D Point Alignment Detection J Lezama, JM Morel, G Randall, R Grompone von Gioi IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014 | 32 | 2014 |
| Overcoming the disentanglement vs reconstruction trade-off via Jacobian supervision J Lezama International Conference on Learning Representations, 2019 | 31 | 2019 |
| Improved masked image generation with token-critic J Lezama, H Chang, L Jiang, I Essa European Conference on Computer Vision, 70-86, 2022 | 27 | 2022 |
| Segmentation guided registration of wide field-of-view retinal optical coherence tomography volumes J Lezama, D Mukherjee, RP McNabb, G Sapiro, AN Kuo, S Farsiu Biomedical optics express 7 (12), 4827-4846, 2016 | 25 | 2016 |
| Non-uniform blur kernel estimation via adaptive basis decomposition G Carbajal, P Vitoria, M Delbracio, P Musé, J Lezama arXiv preprint arXiv:2102.01026, 2021 | 22 | 2021 |
| Masksketch: Unpaired structure-guided masked image generation D Bashkirova, J Lezama, K Sohn, K Saenko, I Essa Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 19 | 2023 |
| Good continuation in dot patterns: A quantitative approach based on local symmetry and non-accidentalness J Lezama, G Randall, JM Morel, RG von Gioi Vision research 126, 183-191, 2016 | 12 | 2016 |
| Foresthash: Semantic hashing with shallow random forests and tiny convolutional networks Q Qiu, J Lezama, A Bronstein, G Sapiro Proceedings of the European Conference on Computer Vision (ECCV), 432-448, 2018 | 9 | 2018 |
| Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models. J Lezama, W Chen, Q Qiu ICML, 6275-6285, 2021 | 8 | 2021 |
| Vanishing point detection in urban scenes using point alignments J Lezama, G Randall, RG von Gioi Image Processing On Line 7, 131-164, 2017 | 8 | 2017 |
Jean Michel MorelEcole Normale Supérieure de Cachan在 ens-paris-saclay.fr 的电子邮件经过验证
